This course will be delivered by Dean Adams, Mike Collyer and Antigoni Kaliontzopoulou in Glasgow City Centre for the 30th September - 4th October 2019
You will recognise these names from answering many of the questions on morphmet and as the developers of Geomorph - you could not ask for a better combinations of instructors!
The field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation, and its covariation with other variables. Over the past several decades these approaches have become a mainstay in the field of ecology, evolutionary biology, and anthropology, and a panoply of analytical tools for addressing specific biological hypotheses concerning shape have been developed. The goal of this is to provide participants with a working knowledge of the theory of geometric morphometrics, as well as practical training in the application of these methods.
The course is organized in both theoretical and practical sessions. The theoretical sessions will provide a comprehensive introduction to the methods of landmark-based geometric morphometrics, which aims at providing the participants with a solid theoretical background for understanding the procedures used in shape data analysis. Practical sessions will include worked examples, giving the participants the opportunity to gain hands-on experience in the treatment of shape data using the R package geomorph. These sessions focus on the generation of shape variables from primary landmark data, the statistical treatment of shape variation with respect to biological hypotheses, and the visualization of patterns of shape variation and of the shapes themselves for interpretation of statistical findings, using the R language for statistical programming. While practice datasets will be available, it is strongly recommended that participants come with their own datasets.
Note: Because this is a geometric morphometrics workshop in R, it is assumed, and is in fact required, that participants have some working knowledge in R. The practical sessions of the course will focus on GM-based analyses, and not basic R user-interfacing. It is therefore strongly recommended that participants refresh their R skills prior to attending the workshop.
Oliver Hooker PhD.
The course will be delivered over five days and will comprise both lectures and hands-on sessions. The lectures will cover both basic theoretical aspects and their practical implementation in research practice and software. During the hands-on sessions, the attendees will have the chance of both using example datasets and applying the knowledge acquired to their own data. The course will be focused mainly on 2D data and on easy-to-use software with graphical user interface to maximize the ability to understand concepts and apply them. However, some information on 3D data and on R implementations will be provided, as appropriate.
This course is aimed at beginners and intermediate users. In other words, it is aimed at researchers who intend to use geometric morphometrics or who have started performing geometric morphometric analyses but feel they need a more structured background.
For more information, please visit the course website: https://www.physalia-courses.org/courses-workshops/course22/
The 2019 event will also be a special event because a new Endowed Chair in Morphometrics at Stony Brook University will also be announced then.
Nominations for the 2019 award can be made here - but not until January 2019. Repeat nominations do not need to include the full package of reprints and letters of reccomendation - just a letter making the case for the nominee in 2019.
Tax deductable donations to support the Rohlf Medal fund can be made securely through the Stony Brook Foundation website.